Python 2.7中用parser.make2d转HTML表格为DataFrame遇模块问题

Hey there! I see you're trying to convert an HTML table to a usable DataFrame with parser.make2d() but hitting a module not found roadblock in Python 2.7. Let's work through this together.

First: Try Installing the Correct Module #

The error pops up because the html_table_parser module isn't installed in your Python 2.7 environment. Since you're on Python 2.7, you'll need to use pip2 (instead of the default pip) to install packages tailored to this older version. Run this command in your terminal:

pip2 install html-table-parser

A quick heads-up: Python 2.7 has been end-of-life since 2020, so some packages (including this one) might have dropped support for it. If the install fails, we'll move to reliable alternative solutions below.

Alternative 1: Use Pandas' Built-in HTML Parsing #

You don't need extra modules to turn HTML tables into DataFrames—pandas has a handy read_html() function that does the heavy lifting. Here's how to adjust your code:

from urllib2 import urlopen
import pandas as pd
from bs4 import BeautifulSoup
import requests

report = requests.get(url_parsing, proxies=proxies)
report2 = BeautifulSoup(report.text, 'html.parser')
body = report2.find("body")
tables = body.find_all("table")

# Convert the 4th table (index 3) directly to a DataFrame
df = pd.read_html(str(tables[3]))[0]

pd.read_html() scans the HTML string for tables, returns a list of DataFrames, and we just grab the first (and only) one for your target table.

Alternative 2: Manual Parsing with BeautifulSoup #

If you want more control over how cells are extracted, you can build the table data manually:

from urllib2 import urlopen
import pandas as pd
from bs4 import BeautifulSoup
import requests

report = requests.get(url_parsing, proxies=proxies)
report2 = BeautifulSoup(report.text, 'html.parser')
body = report2.find("body")
table = body.find_all("table")[3]

# Extract rows and cell text
table_data = []
for row in table.find_all('tr'):
    row_cells = []
    for cell in row.find_all(['td', 'th']):
        row_cells.append(cell.get_text(strip=True))
    table_data.append(row_cells)

# Convert to DataFrame (use first row as headers)
df = pd.DataFrame(table_data[1:], columns=table_data[0])

A Quick Reminder About Python 2.7 #

While we've fixed your immediate issue, it's worth noting that Python 2.7 is no longer supported—no security updates, bug fixes, or new package versions. If you can, consider upgrading to Python 3.x to access better tools and ongoing support.

内容的提问来源于stack exchange，提问作者AAA